Files
axolotl/src/axolotl/monkeypatch/multipack.py
Chirag Jain 0c8b1d824a Update get_unpad_data patching for multipack (#2013)
* Update `get_unpad_data` patching for multipack

* Update src/axolotl/utils/models.py

* Update src/axolotl/utils/models.py

* Add test case

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
2024-11-15 20:35:50 -05:00

56 lines
1.7 KiB
Python

"""multipack patching for v2 of sample packing"""
import importlib
import transformers
from accelerate import init_empty_weights
from transformers import AutoConfig, AutoModelForCausalLM
from transformers.integrations import is_deepspeed_zero3_enabled
from axolotl.monkeypatch.mixtral import patch_mixtral_moe_forward_zero3
from axolotl.monkeypatch.utils import get_unpad_data
SUPPORTED_MULTIPACK_MODEL_TYPES = [
"mllama_text_model",
"llama",
"mistral",
"mixtral",
"qwen2",
"qwen2_moe",
"falcon",
"phi",
"phi3",
"gemma",
"gemma2",
"gemmoe",
"starcoder2",
"deepseek_v2",
]
def patch_for_multipack(model_type, model_name=None, has_remote_code=False):
if has_remote_code:
patch_remote(model_name)
elif hasattr(transformers, "modeling_flash_attention_utils"):
transformers.modeling_flash_attention_utils._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)
if model_type == "mixtral" and is_deepspeed_zero3_enabled():
patch_mixtral_moe_forward_zero3()
def patch_remote(model_name):
model_config = AutoConfig.from_pretrained(model_name, trust_remote_code=True)
# we need to load the model here in order for modeling_* to be available
with init_empty_weights():
AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
parts = model_config.__class__.__module__.split(".")
parts[-1] = parts[-1].replace("configuration_", "modeling_", 1)
module_name = ".".join(parts)
modeling_arch = importlib.import_module(module_name)
if hasattr(modeling_arch, "_get_unpad_data"):
modeling_arch._get_unpad_data = ( # pylint: disable=protected-access
get_unpad_data
)